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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 13701
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    Explanations

    references to actions involving sending someone or something to a specific location or person

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sent."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.77
    orsi
    -0.66
    OWER
    -0.66
    ESS
    -0.63
    foundation
    -0.60
    kernel
    -0.59
    profit
    -0.59
     concession
    -0.58
     belief
    -0.58
    399
    -0.57
    POSITIVE LOGITS
    inel
    1.26
    entious
    1.00
    enced
    0.96
    keys
    0.88
    encing
    0.87
    opolis
    0.85
    books
    0.84
    imental
    0.82
    enc
    0.82
    iments
    0.81
    Activations Density 0.022%

    No Known Activations